Did an Intervention Programme Aimed at Strengthening the Maternal and Child Health Services in Nigeria Improve the Completeness of Routine Health Data Within the Health Management Information System?
BackgroundDuring 2012-2015, the Federal Government of Nigeria launched the Subsidy Reinvestment and Empowerment Programme, a health system strengthening (HSS) programme with a Maternal and Child Health component (Subsidy Reinvestment and Empowerment Programme [SURE-P]/MCH), which was monitored using...
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| Format: | Article |
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Kerman University of Medical Sciences
2022-07-01
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| Series: | International Journal of Health Policy and Management |
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| Online Access: | https://www.ijhpm.com/article_3976_9c55d4d1f33ace9232e501cfce2fcba2.pdf |
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| author | Benjamin Uzochukwu Tolib Mirzoev Chinyere Okeke Joseph Hicks Enyi Etiaba Uche Obi Tim Ensor Adaora Uzochukwu Obinna Onwujekwe |
| author_facet | Benjamin Uzochukwu Tolib Mirzoev Chinyere Okeke Joseph Hicks Enyi Etiaba Uche Obi Tim Ensor Adaora Uzochukwu Obinna Onwujekwe |
| author_sort | Benjamin Uzochukwu |
| collection | DOAJ |
| description | BackgroundDuring 2012-2015, the Federal Government of Nigeria launched the Subsidy Reinvestment and Empowerment Programme, a health system strengthening (HSS) programme with a Maternal and Child Health component (Subsidy Reinvestment and Empowerment Programme [SURE-P]/MCH), which was monitored using the Health Management Information Systems (HMIS) data reporting tools. Good quality data is essential for health policy and planning decisions yet, little is known on whether and how broad health systems strengthening programmes affect quality of data. This paper explores the effects of the SURE-P/MCH on completeness of MCH data in the National HMIS. MethodsThis mixed-methods study was undertaken in Anambra state, southeast Nigeria. A standardized proforma was used to collect facility-level data from the facility registers on MCH services to assess the completeness of data from 2 interventions and one control clusters. The facility data was collected to cover before, during, and after the SURE-P intervention activities. Qualitative in-depth interviews were conducted with purposefully-identified health facility workers to identify their views and experiences of changes in data quality throughout the above 3 periods. ResultsQuantitative analysis of the facility data showed that data completeness improved substantially, starting before SURE-P and continuing during SURE-P but across all clusters (ie, including the control). Also health workers felt data completeness were improved during the SURE-P, but declined with the cessation of the programme. We also found that challenges to data completeness are dependent on many variables including a high burden on providers for data collection, many variables to be filled in the data collection tools, and lack of health worker incentives. ConclusionQuantitative analysis showed improved data completeness and health workers believed the SURE-P/MCH had contributed to the improvement. The functioning of national HMIS are inevitably linked with other health systems components. While health systems strengthening programmes have a great potential for improved overall systems performance, a more granular understanding of their implications on the specific components such as the resultant quality of HMIS data, is needed. |
| first_indexed | 2024-04-10T05:28:51Z |
| format | Article |
| id | doaj.art-38c07b71f2e4479380ae50ccfa9fa654 |
| institution | Directory Open Access Journal |
| issn | 2322-5939 |
| language | English |
| last_indexed | 2024-04-10T05:28:51Z |
| publishDate | 2022-07-01 |
| publisher | Kerman University of Medical Sciences |
| record_format | Article |
| series | International Journal of Health Policy and Management |
| spelling | doaj.art-38c07b71f2e4479380ae50ccfa9fa6542023-03-07T09:11:16ZengKerman University of Medical SciencesInternational Journal of Health Policy and Management2322-59392022-07-0111793794610.34172/ijhpm.2020.2263976Did an Intervention Programme Aimed at Strengthening the Maternal and Child Health Services in Nigeria Improve the Completeness of Routine Health Data Within the Health Management Information System?Benjamin Uzochukwu0Tolib Mirzoev1Chinyere Okeke2Joseph Hicks3Enyi Etiaba4Uche Obi5Tim Ensor6Adaora Uzochukwu7Obinna Onwujekwe8Department of Community Medicine, College of Medicine, University of Nigeria (Enugu Campus), Nsukka, NigeriaNuffield Centre for International Health and Development, University of Leeds, Leeds, UKDepartment of Community Medicine, College of Medicine, University of Nigeria (Enugu Campus), Nsukka, NigeriaNuffield Centre for International Health and Development, University of Leeds, Leeds, UKDepartment of Health Administration and Management, College of Medicine, University of Nigeria (Enugu Campus), Nsukka, NigeriaDepartment of Community Medicine, College of Medicine, University of Nigeria (Enugu Campus), Nsukka, NigeriaNuffield Centre for International Health and Development, University of Leeds, Leeds, UKDepartment of Management, University of Nigeria (Enugu Campus), Nsukka, NigeriaDepartment of Health Administration and Management, College of Medicine, University of Nigeria (Enugu Campus), Nsukka, NigeriaBackgroundDuring 2012-2015, the Federal Government of Nigeria launched the Subsidy Reinvestment and Empowerment Programme, a health system strengthening (HSS) programme with a Maternal and Child Health component (Subsidy Reinvestment and Empowerment Programme [SURE-P]/MCH), which was monitored using the Health Management Information Systems (HMIS) data reporting tools. Good quality data is essential for health policy and planning decisions yet, little is known on whether and how broad health systems strengthening programmes affect quality of data. This paper explores the effects of the SURE-P/MCH on completeness of MCH data in the National HMIS. MethodsThis mixed-methods study was undertaken in Anambra state, southeast Nigeria. A standardized proforma was used to collect facility-level data from the facility registers on MCH services to assess the completeness of data from 2 interventions and one control clusters. The facility data was collected to cover before, during, and after the SURE-P intervention activities. Qualitative in-depth interviews were conducted with purposefully-identified health facility workers to identify their views and experiences of changes in data quality throughout the above 3 periods. ResultsQuantitative analysis of the facility data showed that data completeness improved substantially, starting before SURE-P and continuing during SURE-P but across all clusters (ie, including the control). Also health workers felt data completeness were improved during the SURE-P, but declined with the cessation of the programme. We also found that challenges to data completeness are dependent on many variables including a high burden on providers for data collection, many variables to be filled in the data collection tools, and lack of health worker incentives. ConclusionQuantitative analysis showed improved data completeness and health workers believed the SURE-P/MCH had contributed to the improvement. The functioning of national HMIS are inevitably linked with other health systems components. While health systems strengthening programmes have a great potential for improved overall systems performance, a more granular understanding of their implications on the specific components such as the resultant quality of HMIS data, is needed.https://www.ijhpm.com/article_3976_9c55d4d1f33ace9232e501cfce2fcba2.pdfhealth management informationdata completenessmaternal and childhealthcarenigeria |
| spellingShingle | Benjamin Uzochukwu Tolib Mirzoev Chinyere Okeke Joseph Hicks Enyi Etiaba Uche Obi Tim Ensor Adaora Uzochukwu Obinna Onwujekwe Did an Intervention Programme Aimed at Strengthening the Maternal and Child Health Services in Nigeria Improve the Completeness of Routine Health Data Within the Health Management Information System? International Journal of Health Policy and Management health management information data completeness maternal and child healthcare nigeria |
| title | Did an Intervention Programme Aimed at Strengthening the Maternal and Child Health Services in Nigeria Improve the Completeness of Routine Health Data Within the Health Management Information System? |
| title_full | Did an Intervention Programme Aimed at Strengthening the Maternal and Child Health Services in Nigeria Improve the Completeness of Routine Health Data Within the Health Management Information System? |
| title_fullStr | Did an Intervention Programme Aimed at Strengthening the Maternal and Child Health Services in Nigeria Improve the Completeness of Routine Health Data Within the Health Management Information System? |
| title_full_unstemmed | Did an Intervention Programme Aimed at Strengthening the Maternal and Child Health Services in Nigeria Improve the Completeness of Routine Health Data Within the Health Management Information System? |
| title_short | Did an Intervention Programme Aimed at Strengthening the Maternal and Child Health Services in Nigeria Improve the Completeness of Routine Health Data Within the Health Management Information System? |
| title_sort | did an intervention programme aimed at strengthening the maternal and child health services in nigeria improve the completeness of routine health data within the health management information system |
| topic | health management information data completeness maternal and child healthcare nigeria |
| url | https://www.ijhpm.com/article_3976_9c55d4d1f33ace9232e501cfce2fcba2.pdf |
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